minus-squareBrett@programming.devtoTechnology@lemmy.world•Generative AI Is an Engineering Disaster. A shockingly inefficient trillion-dollar project.linkfedilinkEnglisharrow-up1·10 days agoWhat are you using to run the model? Llama.cpp will automatically split the model between your system ram and graphics card’s vram. Qwen 3.6 is a mixture of experts model with only 3B parameters active at a time. Even without quantization your card could easily run that. linkfedilink
minus-squareBrett@programming.devtoTechnology@lemmy.world•Generative AI Is an Engineering Disaster. A shockingly inefficient trillion-dollar project.linkfedilinkEnglisharrow-up4·1 month agoIs that quantized? 4 bit Qwen 3.6 can get 22tps on a 1060. linkfedilink
minus-squareBrett@programming.devtoFediverse@lemmy.world•Lemmy instance post visibility rankingslinkfedilinkEnglisharrow-up2·4 months agoSaved. Awesome stuff 🥕 linkfedilink
minus-squareBrett@programming.devtoFediverse@lemmy.world•Lemmy instance post visibility rankingslinkfedilinkEnglisharrow-up6·4 months agoThis is a fantastic post. I am very happy to have seen it tonight. linkfedilink
What are you using to run the model? Llama.cpp will automatically split the model between your system ram and graphics card’s vram.
Qwen 3.6 is a mixture of experts model with only 3B parameters active at a time. Even without quantization your card could easily run that.